摘要
针对传统伪装图案设计方法单一、受主观因素影响较大、伪装效果不够理想等问题,提出了一种仿生伪装图案遗传进化设计方法,根据人眼目视成像侦察和光电成像侦察基本原理构建了目标侦察综合特征参数模型。借鉴生物遗传进化思想,以斑马图案为基础开展伪装图案优选复制、交叉繁殖和变异繁殖等仿生进化处理方法研究,得到能适应成像基本模型的仿生伪装图案,改进了传统伪装图案设计方法。通过多种伪装图案的对比实验表明,本文方法有效地降低了目标的检测识别特征,具有较好的伪装隐蔽效果,综合特征参数较初始时降低23%以上,优于其他多种典型伪装方法。该本文方法实现了侦察模型、生物遗传进化思想和伪装原理相关知识交叉融会应用,为迷彩伪装图案的科学化和精细化设计提供了一种新方法。
The traditional camouflage pattern design is too single,and mostly depends on the designer＇s experiences,as a result,the camouflage performance is not satisfied in war field.Thus,a novel bionic camouflage pattern design method by genetic evolutionary algorithm is proposed in this work.The comprehensive parameter model is obtained according to the principle of human visual reconnaissance and photoelectric imaging reconnaissance.The camouflage pattern is processed by fine selection,cross-breeding and variance-breeding based on zebra stripes camouflage pattern.The proposed bionic camouflage pattern can counter imaging reconnaissance to improve the traditional camouflage pattern design.The comparative experiments by several camouflage methods indicate that the proposed method can reduce detection and recognition feature of target superior to the others traditional camouflage patterns.Comprehensive feature parameter is reduced by more than 23% of initial value,which is better than other traditional camouflage patterns.An integrated model of reconnaissance,genetic evolutionary and camouflage theory is achieved in the proposed method,which provides a novel approach for scientific and felicitous camouflage pattern design.
作者
陈善静
康青
王正刚
蒲欢
辛颖
Chen Shanjing Kang Qing Wang Zhenggang Pu Huan Xin Ying(Department of National Defense Construction Planning and Environment Engineering, Logistical Engineering University, Chongqing 401311, China)
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2017年第2期425-435,共11页
Chinese Journal of Scientific Instrument
基金
国家863计划项目(2013AA030704)
后勤工程学院青年基金(X2050105)项目资助
关键词
伪装图案
遗传进化
仿生伪装
成像侦察模型
交叉繁殖
camouflage pattern
genetics and evolution
bionic camouflage
model of imaging reconnaissance
cross breeding
